Cost prediction for global illumination using a fast rasterised scene preview
AFRIGRAPH '06 Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
Efficient selective rendering of participating media
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
Selective rendering: computing only what you see
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
Parallel selective rendering of high-fidelity virtual environments
Parallel Computing
Perceptual rendering of participating media
ACM Transactions on Applied Perception (TAP)
Selective and adaptive supersampling for real-time ray tracing
Proceedings of the Conference on High Performance Graphics 2009
EG PGV'06 Proceedings of the 6th Eurographics conference on Parallel Graphics and Visualization
| Hi-index | 0.00 |
Images rendered using global illumination algorithms are considered amongst the most realistic in 3D computer graphics. However, this high fidelity comes at a significant computational expense. A major part of this cost arises from the sampling required to eliminate aliasing errors. These errors occur due to the discrete sampling of continuous geometry space inherent to these techniques. In this paper we present a fast analytic method for predicting in advance where antialiasing needs to be computed. This prediction is based on a rapid visualisation of the scene using a GPU, which is used to drive a selective renderer. We are able to significantly reduce the overall number of aniti-aliasing rays traced, producing an image that is perceptually indistinguishable from the high quality image at a much reduced computational cost.